Results 91 to 100 of about 2,346 (136)

Return to Work Status and Influencing Factors Among Young and Middle-Aged Patients with Stanford Type A Aortic Dissection After Cardiac Surgery: A Random Forest Model Analysis. [PDF]

Int J Gen Med
Chen S, Huang Y, Cheng Y, Chen H, You T.
europepmc   +1 more source

Association between relative fat mass and obstructive sleep apnea and the potential mediating effect of hypertension: based on NHANES 2005-2008 and 2015-2018. [PDF]

Nutr J
Guo Q, Xu W, Wang C, Xie M, Wu Z, Zhang N, Zhang B, Mu D.   +7 more
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Knowledge Discovery on RFM Model using Bernoulli Sequence

SSRN Electronic Journal, 2009
The objective of this paper is to introduce a comprehensive methodology to discover the knowledge for selecting targets for direct marketing from a database. This study expanded RFM model by including two parameters, time since first purchase and churn probability.
I-Cheng Yeh 0002, King-Jang Yang, Tao-Ming Ting   +2 more
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Classifying the segmentation of customer value via RFM model and RS theory

Expert Systems with Applications, 2009
Data mining is a powerful new technique to help companies mining the patterns and trends in their customers data, then to drive improved customer relationships, and it is one of well-known tools given to customer relationship management (CRM). However, there are some drawbacks for data mining tool, such as neural networks has long training times and ...
Ching-Hsue Cheng 0001, You-Shyang Chen
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Mining Valuable Fuzzy Patterns via the RFM Model

2022 IEEE International Conference on Data Mining Workshops (ICDMW), 2022
Yanlin Qi, Fuyin Lai, Guoting Chen, Wensheng Gan   +3 more
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A New RFM Model Approach: RFMS

2023
Semra Erpolat Taşabat, Tayfun Özçay, Salih Sertbaş, Esra Akca   +3 more
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E-commerce Customer Segmentation Based on RFM Model

Lecture Notes in Electrical Engineering, 2022
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A stochastic RFM model

Journal of Interactive Marketing, 1999
Abstract A central problem in database marketing is how to choose which customers in the firm's database to target with an offer. This paper presents a simple stochastic RFM model to carry out such a task. By making a few straightforward assumptions about the customers in the database, the stochastic model provides a means of (1) ranking customers in
Richard Colombo, Weina Jiang
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RFM approach for telecom insolvency modeling

Kybernetes, 2016
Purpose – The purpose of this paper is to present application of recency, frequency and monetary value (RFM) approach to predict customer insolvency using telecommunication data corresponding to RFM of late payments. The study tackles a serious problem that telecommunication companies often face and shows the ways to ...
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